{"doi":"10.1101/2022.06.01.494442","title":"Recording large-scale, cellular-resolution neuronal activity from freely-moving mice","abstract":"Abstract Current methods for recording large-scale neuronal activity from behaving mice with single-cell resolution require either fixing the mouse head under a microscope or attachment of a recording device to the animal’s skull. Both of these options significantly affect the animal behavior and hence also the recorded brain activity patterns. Here, we introduce a new method to acquire snapshots of single-cell cortical activity maps from freely-moving mice using a calcium sensor called CaMPARI. CaMPARI has a unique property of irreversibly changing its color from green to red inside active neurons when illuminated with 400nm light. We capitalize on this property to demonstrate cortex-wide activity recording without any head fixation or attachment of a miniaturized device to the mouse’s head. Multiple cortical regions were recorded while the mouse was performing a battery of behavioral and cognitive tests. We identified task-dependent activity patterns across motor and somatosensory cortices, with significant differences across sub-regions of the motor cortex. This new CaMPARI-based recording method expands the capabilities of recording neuronal activity from freely-moving and behaving mice under minimally-restrictive experimental conditions and provides large-scale volumetric data that are not accessible otherwise.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2022,"id":303550,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8995,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":229815,"name":"Sarah Holden","orcid":null,"position":1,"is_corresponding":false},{"id":996024,"name":"Julie Borovicka","orcid":null,"position":2,"is_corresponding":false},{"id":996025,"name":"Jacob Icardi","orcid":null,"position":3,"is_corresponding":false},{"id":996026,"name":"Davina Patel","orcid":null,"position":4,"is_corresponding":false},{"id":996027,"name":"Rushik Patel","orcid":null,"position":5,"is_corresponding":false},{"id":228247,"name":"Jacob Raber","orcid":"0000-0002-9861-9893","position":6,"is_corresponding":false},{"id":361186,"name":"Hod Dana","orcid":"0000-0002-8093-2363","position":7,"is_corresponding":false},{"id":361180,"name":"Aniruddha Das","orcid":"0000-0002-1376-3619","position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":null,"created_at":"2026-07-19T00:32:24.307938Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}